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Stochastic learning control of inhomogeneous quantum ensembles

hal.structure.identifierCEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
dc.contributor.authorTurinici, Gabriel
HAL ID: 16
ORCID: 0000-0003-2713-006X
dc.date.accessioned2019-12-20T10:25:12Z
dc.date.available2019-12-20T10:25:12Z
dc.date.issued2019
dc.identifier.issn1050-2947
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/20358
dc.language.isoenen
dc.subjectStochastic gradient descenten
dc.subjectquantum controlen
dc.subject.ddc515en
dc.titleStochastic learning control of inhomogeneous quantum ensemblesen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenIn quantum control, the robustness with respect to uncertainties in the system's parameters or driving-field characteristics is of paramount importance and has been studied theoretically, numerically, and experimentally. We test in this paper stochastic search procedures (Stochastic gradient descent and the Adam algorithm) that sample, at each iteration, from the distribution of the parameter uncertainty, as opposed to previous approaches that used a fixed grid. We show that both algorithms behave well with respect to benchmarks and discuss their relative merits. In addition the methodology allows to address high-dimensional parameter uncertainty; we implement numerically, with good results, a three-dimensional and a six-dimensional case.en
dc.relation.isversionofjnlnamePhysical Review. A, Atomic, Molecular and Optical Physics
dc.relation.isversionofjnlvol100en
dc.relation.isversionofjnlissue5en
dc.relation.isversionofjnldate2019-11
dc.relation.isversionofdoi10.1103/PhysRevA.100.053403en
dc.relation.isversionofjnlpublisherAmerican Physical Societyen
dc.subject.ddclabelAnalyseen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewedouien
dc.relation.Isversionofjnlpeerreviewedouien
dc.date.updated2019-12-20T10:23:25Z
hal.author.functionaut


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